


The First Institute of Aerospace Science and Technology Group will build a national measurement data construction and application base
China Aerospace Science and Technology Corporation announced that the State Administration for Market Regulation has approved the establishment of a national metrology data construction and application base (space launch industry) based on the Beijing Aerospace Metrology and Testing Technology Institute, the first institute of China Aerospace Science and Technology Corporation. This initiative will further promote the development of the space launch industry and promote the application of national measurement data construction.
According to inquiries, the State Administration for Market Regulation approved the plan to build a national metrology data construction and application base (space launch industry) based on the Beijing Institute of Aerospace Measurement and Testing Technology around January 17.
The National Metrology Data Construction and Application Base (Space Launch Industry) will focus on the metrology needs in the development, production, and testing of equipment in the space launch field in accordance with the national digital economy strategy and the development needs of metrology digital transformation, and carry out model-based Research on data production technology driven by test adequacy, test data quality assessment technology driven by physical characteristics, artificial intelligence benchmark data set construction technology, etc., establish a data-driven artificial intelligence measurement platform, and form data sets and tools for typical application scenarios; develop aerospace Intelligent measurement system-level solutions for the carrier industry, coupled with automated measurement units, promote the transformation of measurement data from single point and sparse measurement data to point cloud measurement data and massive data, build a quality prediction model based on measurement big data, and promote the transformation of measurement data into reality productivity transformation.

Officials stated that the preparation for the establishment of the National Metrology Data Construction and Application Base (Space Launch Industry) has been approved. The overall goal of the base is to establish a measurement data standardization system and management model in the field of space transportation, and to create relevant application scenarios. At the same time, it will accelerate innovative breakthroughs in key application areas of space launch measurement data.
After completion, the base will be based on the national digital economy strategy and the development needs of metrology digital transformation, focusing on the metrology needs in the development, production, and testing of equipment in the space transportation field, including the construction of laboratory facilities, research and development of metrology technology, Provide services such as measurement certification.
Conduct research on data generation technology driven by model testing adequacy, test data quality assessment technology driven by physical characteristics, and artificial intelligence benchmark data set construction technology to establish data-driven artificial intelligence Smart metering platform and form data sets and tools for typical application scenarios.
Optimize the intelligent measurement system-level solution for the aerospace launch industry and integrate automated measurement units to promote the transformation of measurement data from a single point and sparse state to a point cloud and massive data, and establish Quality prediction model based on measurement big data to promote the transformation of measurement data into actual productivity.
Focus on the measurement needs in the development, production, testing and other processes of aerospace equipment, and are committed to exploring new ideas and new models for using measurement data to promote the development of the space launch industry. We will strengthen the collection, analysis, mining, application and management of space mission measurement data to improve the management capabilities and application efficiency of space mission measurement data.
The above is the detailed content of The First Institute of Aerospace Science and Technology Group will build a national measurement data construction and application base. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

AEC/O (Architecture, Engineering & Construction/Operation) refers to the comprehensive services that provide architectural design, engineering design, construction and operation in the construction industry. In 2024, the AEC/O industry faces changing challenges amid technological advancements. This year is expected to see the integration of advanced technologies, heralding a paradigm shift in design, construction and operations. In response to these changes, industries are redefining work processes, adjusting priorities, and enhancing collaboration to adapt to the needs of a rapidly changing world. The following five major trends in the AEC/O industry will become key themes in 2024, recommending it move towards a more integrated, responsive and sustainable future: integrated supply chain, smart manufacturing

In the Internet era, big data has become a new resource. With the continuous improvement of big data analysis technology, the demand for big data programming has become more and more urgent. As a widely used programming language, C++’s unique advantages in big data programming have become increasingly prominent. Below I will share my practical experience in C++ big data programming. 1. Choosing the appropriate data structure Choosing the appropriate data structure is an important part of writing efficient big data programs. There are a variety of data structures in C++ that we can use, such as arrays, linked lists, trees, hash tables, etc.

1. Background of the Construction of 58 Portraits Platform First of all, I would like to share with you the background of the construction of the 58 Portrait Platform. 1. The traditional thinking of the traditional profiling platform is no longer enough. Building a user profiling platform relies on data warehouse modeling capabilities to integrate data from multiple business lines to build accurate user portraits; it also requires data mining to understand user behavior, interests and needs, and provide algorithms. side capabilities; finally, it also needs to have data platform capabilities to efficiently store, query and share user profile data and provide profile services. The main difference between a self-built business profiling platform and a middle-office profiling platform is that the self-built profiling platform serves a single business line and can be customized on demand; the mid-office platform serves multiple business lines, has complex modeling, and provides more general capabilities. 2.58 User portraits of the background of Zhongtai portrait construction

In today's big data era, data processing and analysis have become an important support for the development of various industries. As a programming language with high development efficiency and superior performance, Go language has gradually attracted attention in the field of big data. However, compared with other languages such as Java and Python, Go language has relatively insufficient support for big data frameworks, which has caused trouble for some developers. This article will explore the main reasons for the lack of big data framework in Go language, propose corresponding solutions, and illustrate it with specific code examples. 1. Go language

As an open source programming language, Go language has gradually received widespread attention and use in recent years. It is favored by programmers for its simplicity, efficiency, and powerful concurrent processing capabilities. In the field of big data processing, the Go language also has strong potential. It can be used to process massive data, optimize performance, and can be well integrated with various big data processing tools and frameworks. In this article, we will introduce some basic concepts and techniques of big data processing in Go language, and show how to use Go language through specific code examples.

Yizhiwei’s 2023 autumn product launch has concluded successfully! Let us review the highlights of the conference together! 1. Intelligent inclusive openness, allowing digital twins to become productive Ning Haiyuan, co-founder of Kangaroo Cloud and CEO of Yizhiwei, said in his opening speech: At this year’s company’s strategic meeting, we positioned the main direction of product research and development as “intelligent inclusive openness” "Three core capabilities, focusing on the three core keywords of "intelligent inclusive openness", we further proposed the development goal of "making digital twins a productive force". 2. EasyTwin: Explore a new digital twin engine that is easier to use 1. From 0.1 to 1.0, continue to explore the digital twin fusion rendering engine to have better solutions with mature 3D editing mode, convenient interactive blueprints, and massive model assets

Golang and big data: a perfect match or at odds? With the rapid development of big data technology, more and more companies are beginning to optimize business and decision-making through data analysis. For big data processing, efficient programming languages are crucial. Among many programming languages, Golang (Go language) has become one of the popular choices for big data processing due to its concurrency, efficiency, simplicity and other characteristics. So, are Golang and big data a perfect match or contradictory? This article will start from the application of Golang in big data processing,
